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Racial Disparities in Frontline Workers and Housing Crowding during COVID-19: Evidence from Geolocation Data

Author

Listed:
  • Milena Almagro
  • Joshua Coven
  • Arpit Gupta
  • Angelo Orane-Hutchinson

Abstract

We document that racial disparities in COVID-19 in New York City stem from patterns of commuting and housing crowding. During the initial wave of the pandemic, we find that out-of-home activity related to commuting is strongly associated with COVID-19 cases at the ZIP Code level and hospitalization at an individual level. After layoffs of essential workers decreased commuting, we find case growth continued through household crowding. A larger share of individuals in crowded housing or commuting to essential work are Black, Hispanic, and lower-income. As a result, structural inequalities, rather than population density, play a role in determining the cross-section of COVID-19 risk exposure in urban areas.

Suggested Citation

  • Milena Almagro & Joshua Coven & Arpit Gupta & Angelo Orane-Hutchinson, 2020. "Racial Disparities in Frontline Workers and Housing Crowding during COVID-19: Evidence from Geolocation Data," Opportunity and Inclusive Growth Institute Working Papers 37, Federal Reserve Bank of Minneapolis.
    • Handle: RePEc:fip:fedmoi:88803
    DOI: 10.21034/iwp.37
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    Cited by:

    1. Victor Couture & Jonathan Dingel & Allison Green & Jessie Handbury & Kevin Williams, 2020. "Measuring Movement and Social Contact with Smartphone Data: A Real-Time Application to COVID-19," Opportunity and Inclusive Growth Institute Working Papers 35, Federal Reserve Bank of Minneapolis.
    2. Althoff, Lukas & Eckert, Fabian & Ganapati, Sharat & Walsh, Conor, 2022. "The Geography of Remote Work," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    3. Rachid Laajaj & Duncan Webb & Danilo Aristizabal & Eduardo Behrentz & Raquel Bernal & Giancarlo Buitrago & Zulma Cucunubá & Fernando de la Hoz, 2021. "Understanding how socioeconomic inequalities drive inequalities in SARS-CoV-2 infections," Documentos CEDE 19241, Universidad de los Andes, Facultad de Economía, CEDE.
    4. Brandily, Paul & Brébion, Clément & Briole, Simon & Khoury, Laura, 2021. "A poorly understood disease? The impact of COVID-19 on the income gradient in mortality over the course of the pandemic," European Economic Review, Elsevier, vol. 140(C).
    5. Jaymee Sheng & Anup Malani & Ashish Goel & Purushotham Botla, 2021. "Does Mobility Explain Why Slums Were Hit Harder by COVID-19 in Mumbai, India?," NBER Working Papers 28541, National Bureau of Economic Research, Inc.
    6. Francke, Marc & Korevaar, Matthijs, 2021. "Housing markets in a pandemic: Evidence from historical outbreaks," Journal of Urban Economics, Elsevier, vol. 123(C).
    7. Sheng, Jaymee & Malani, Anup & Goel, Ashish & Botla, Purushotham, 2022. "JUE insights: Does mobility explain why slums were hit harder by COVID-19 in Mumbai, India?," Journal of Urban Economics, Elsevier, vol. 127(C).
    8. , 2020. "The City Paradox: Skilled Services and Remote Work," Opportunity and Inclusive Growth Institute Working Papers 43, Federal Reserve Bank of Minneapolis.
    9. Andrea Flores & George-Levi Gayle, 2022. "Disparities in COVID-19’s Impact on Employment and Household Consumption," Review, Federal Reserve Bank of St. Louis, vol. 104(4), pages 224-265, October.
    10. Almagro, Milena & Orane-Hutchinson, Angelo, 2022. "JUE Insight: The determinants of the differential exposure to COVID-19 in New York city and their evolution over time," Journal of Urban Economics, Elsevier, vol. 127(C).
    11. Bárcena-Martín, Elena & Molina, Julián & Muñoz-Fernández, Ana & Pérez-Moreno, Salvador, 2022. "Vulnerability and COVID-19 infection rates: A changing relationship during the first year of the pandemic," Economics & Human Biology, Elsevier, vol. 47(C).
    12. Paul Brandily & Clément Brébion & Simon Briole & Laura Khoury, 2021. "A Poorly Understood Disease? The Evolution of the Income Gradient in Excess Mortality Due to COVID-19 within Urban Areas," Working Papers halshs-03154551, HAL.
    13. Couture, Victor & Dingel, Jonathan I. & Green, Allison & Handbury, Jessie & Williams, Kevin R., 2022. "JUE Insight: Measuring movement and social contact with smartphone data: a real-time application to COVID-19," Journal of Urban Economics, Elsevier, vol. 127(C).

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    More about this item

    Keywords

    Coronavirus; COVID-19; Housing crowding; Mobility; Racial disparities;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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